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Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion.

, , , , , , , and . DDAM@MM, page 43-52. ACM, (2022)

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Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion., , , , , , , and . DDAM@MM, page 43-52. ACM, (2022)Why and How to Teach Machine Learning in High School -A Practice in Bejing National Day School in China., , , , and . ACM TUR-C, page 89-91. ACM, (2023)The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge., , , , and . INTERSPEECH, page 4396-4400. ISCA, (2022)Robust Audio Anti-spoofing Countermeasure with Joint Training of Front-end and Back-end Models., , , , and . INTERSPEECH, page 4004-4008. ISCA, (2023)Enhancing Anti-spoofing Countermeasures Robustness through Joint Optimization and Transfer Learning., , , and . CoRR, (2024)Low Pass Filtering and Bandwidth Extension for Robust Anti-spoofing Countermeasure Against Codec Variabilities., , , and . ISCSLP, page 438-442. IEEE, (2022)From Speaker Verification to Deepfake Algorithm Recognition: Our Learned Lessons from ADD2023 Track 3., , , , and . DADA@IJCAI, volume 3597 of CEUR Workshop Proceedings, page 107-112. CEUR-WS.org, (2023)Exploring Universal Singing Speech Language Identification Using Self-Supervised Learning Based Front-End Features., , , , and . ICASSP, page 1-5. IEEE, (2023)The 2020 Personalized Voice Trigger Challenge: Open Datasets, Evaluation Metrics, Baseline System and Results., , , , , , , and . Interspeech, page 4239-4243. ISCA, (2021)